Murat Uenalan

1.8k total citations · 1 hit paper
9 papers, 1.4k citations indexed

About

Murat Uenalan is a scholar working on Genetics, Cell Biology and Urology. According to data from OpenAlex, Murat Uenalan has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Cell Biology and 3 papers in Urology. Recurrent topics in Murat Uenalan's work include Blood disorders and treatments (5 papers), melanin and skin pigmentation (3 papers) and Hair Growth and Disorders (3 papers). Murat Uenalan is often cited by papers focused on Blood disorders and treatments (5 papers), melanin and skin pigmentation (3 papers) and Hair Growth and Disorders (3 papers). Murat Uenalan collaborates with scholars based in Germany, United States and Sweden. Murat Uenalan's co-authors include Julia Skokowa, Karl Welte, Cornelia Zeidler, Christopher Baum, Manuela Germeshausen, Matthias Eder, Gunnar Cario, Martin Stanulla, Rudolf Grosschedl and Michaela Scherr and has published in prestigious journals such as Nature Medicine, Blood and Endocrine Reviews.

In The Last Decade

Murat Uenalan

9 papers receiving 1.4k citations

Hit Papers

LEF-1 is crucial for neutrophil granulocytopoiesis and it... 2006 2026 2012 2019 2006 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Murat Uenalan Germany 7 604 503 401 232 185 9 1.4k
Bijay Parajuli Japan 16 377 0.6× 588 1.2× 514 1.3× 387 1.7× 18 0.1× 32 1.5k
Judith Luber‐Narod United States 13 498 0.8× 543 1.1× 262 0.7× 142 0.6× 71 0.4× 15 1.1k
Luisa Benerini Gatta Italy 22 548 0.9× 115 0.2× 502 1.3× 415 1.8× 32 0.2× 42 1.9k
Shingo Miyata Japan 25 113 0.2× 109 0.2× 805 2.0× 78 0.3× 14 0.1× 52 1.6k
Santa Mammana Italy 19 338 0.6× 113 0.2× 476 1.2× 298 1.3× 13 0.1× 31 1.4k
Tongmei Zhang China 15 206 0.3× 114 0.2× 470 1.2× 180 0.8× 8 0.0× 28 1.0k
Pieter J. Peeters Belgium 26 301 0.5× 52 0.1× 838 2.1× 167 0.7× 12 0.1× 40 2.2k
J Cermák United States 22 262 0.4× 116 0.2× 272 0.7× 125 0.5× 8 0.0× 32 1.7k
Célia A. Aveleira Portugal 17 257 0.4× 228 0.5× 501 1.2× 113 0.5× 4 0.0× 28 1.3k

Countries citing papers authored by Murat Uenalan

Since Specialization
Citations

This map shows the geographic impact of Murat Uenalan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Murat Uenalan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murat Uenalan more than expected).

Fields of papers citing papers by Murat Uenalan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murat Uenalan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Murat Uenalan. The network helps show where Murat Uenalan may publish in the future.

Co-authorship network of co-authors of Murat Uenalan

This figure shows the co-authorship network connecting the top 25 collaborators of Murat Uenalan. A scholar is included among the top collaborators of Murat Uenalan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Murat Uenalan. Murat Uenalan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Klimiankou, Maksim, Murat Uenalan, Siarhei Kandabarau, et al.. (2019). Ultra-Sensitive CSF3R Deep Sequencing in Patients With Severe Congenital Neutropenia. Frontiers in Immunology. 10. 116–116. 14 indexed citations
2.
Skokowa, Julia, Dan Lan, Murat Uenalan, Kshama Gupta, & Karl Welte. (2009). HS1 (HCLS1) Protein, a Binding Partner of HAX1, Induces G-CSF-Triggered Granulopoiesis Via LEF-1 Transcription Factor.. Blood. 114(22). 548–548. 1 indexed citations
3.
Skokowa, Julia, Gunnar Cario, Murat Uenalan, et al.. (2006). LEF-1 is crucial for neutrophil granulocytopoiesis and its expression is severely reduced in congenital neutropenia. Nature Medicine. 12(10). 1191–1197. 158 indexed citations
4.
Skokowa, Julia, Gunnar Cario, Murat Uenalan, et al.. (2006). LEF-1 is crucial for neutrophil granulocytopoiesis and its expression is severely reduced in congenital neutropenia. Nature Medicine. 12(10). 1191–1197. 964 indexed citations breakdown →
5.
Ohnemus, Ulrich, Murat Uenalan, José Inzunza, Jan-Ακε Gustafsson, & Ralf Paus. (2006). The Hair Follicle as an Estrogen Target and Source. Endocrine Reviews. 27(6). 677–706. 142 indexed citations
6.
Skokowa, Julia, Murat Uenalan, Axel Schambach, et al.. (2006). LEF-1 Regulates C/EBP α Expression and Neutrophil Differentiation in Normal Myelopoiesis and Congenital Neutropenia by a β-Catenin Independent Mechanism.. Blood. 108(11). 500–500. 1 indexed citations
7.
Ohnemus, Ulrich, Murat Uenalan, Franziska Conrad, et al.. (2005). Hair Cycle Control by Estrogens: Catagen Induction via Estrogen Receptor (ER)-α Is Checked by ERβ Signaling. Endocrinology. 146(3). 1214–1225. 70 indexed citations
8.
Słomiński, Andrzej, Natalia V. Botchkareva, Vladimir A. Botchkarev, et al.. (1999). ACTH Production in C57BL/6 Mouse Skin. Annals of the New York Academy of Sciences. 885(1). 448–450. 10 indexed citations
9.
Słomiński, Andrzej, Natalia V. Botchkareva, Vladimir A. Botchkarev, et al.. (1998). Hair cycle-dependent production of ACTH in mouse skin. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1448(1). 147–152. 43 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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